Full-Time

Senior Software Engineer

Updated on 8/1/2026

Valid

Valid

11-50 employees

Product validation platform for early testing

Compensation Overview

$180k - $220k/yr

+ Equity grants

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
Kubernetes
Agile
Python
Distributed Systems
TensorFlow
Data Structures & Algorithms
PyTorch
Machine Learning
Docker
AWS
DevOps
Google Cloud Platform

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Requirements
  • At least four years of software engineering experience focused on the system architecture of large-scale, performant distributed systems.
  • Experience leading technical projects, coordinating execution of small engineering teams, and setting engineering standards in an agile environment.
  • Mastery of Python and commitment to engineering best practices, including continuous integration and continuous delivery, testing, and fault tolerance.
  • Hands-on experience managing and deploying cloud platforms such as Amazon Web Services and Google Cloud, and orchestration tools such as Kubernetes and Docker.
Responsibilities
  • Architect and implement high-scale, high-throughput systems.
  • Lead projects that develop and deliver products.
  • Identify opportunities to meet and exceed team objectives while developing professionally.
  • Mentor early-stage engineers.
  • Identify major challenges and bottlenecks and execute against them.
  • Contribute as an individual contributor and as a key member of a larger technical team.
Desired Qualifications
  • At least one year of adtech or martech engineering experience in a senior capacity.
  • At least two years of experience in early-stage, pre-Series B startups.
  • Exposure to artificial intelligence and machine learning platforms and application programming interfaces, frameworks such as TensorFlow and PyTorch, and related algorithms.

Valid.co provides a validation service that helps businesses test product ideas with real users before building them. It focuses on confirming whether there is market demand, whether the product solves a real pain point, and what messaging and pricing work best. The process starts by mapping core assumptions (demand, user needs, pricing, and product-market fit) and then running experiments to test them. Examples include pre-launch landing pages to measure interest, customer interviews for qualitative feedback, and surveys for quantitative data. The platform measures the results and guides decisions to confirm, pivot, or drop ideas before committing to full development. Compared with competitors, Valid.co offers a structured, data-driven approach that provides analytics and reports to help both startups and established teams reduce risk and save costs. The overall goal is to help clients allocate resources toward products that have proven market need.

Company Size

11-50

Company Stage

Seed

Total Funding

$5.5M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Early validation reduces wasted engineering spend and failed launches.
  • Structured scoring helps founders make faster go-or-stop decisions.
  • Paid traffic experiments can create repeatable demand for innovation teams.

What critics are saying

  • Productboard and Pendo already bundle validation into existing product stacks.
  • ValidIQ and Validy offer feature-for-feature AI validation substitutes.
  • The AI ad agency pivot blurs positioning and weakens market trust.

What makes Valid unique

  • Valid combines AI research with proprietary Real-Win-Worth scoring.
  • Valid delivers validation reports in five days, not weeks.
  • Valid tests demand using landing pages, interviews, and surveys.

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Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

Meal Benefits

Remote Work Options

Growth & Insights

Headcount

6 month growth

26%

1 year growth

26%

2 year growth

46%